1071 | Senior Python Software Engineer - Airflow/Data Platform at Intetics Inc

, , Poland -

Full Time

Start Date

Immediate

Expiry Date

23 Aug, 26

Salary

0.0

Posted On

25 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Apache Airflow, Elasticsearch, Apache Superset, Flask, Oracle, PostgreSQL, GitLab CI/CD, Unix/Linux, Root Cause Analysis, Data Pipelines, DAG Development

Industry

IT Services and IT Consulting

Description

Intetics Inc., a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Senior Python Software Engineer — Airflow/Data Platform to join our dynamic team on a full-time basis. We are looking for a Senior Python Software Engineer with strong hands-on experience in Airflow DAG development, data pipelines, Elasticsearch, Superset, and Python-based services. This is not a pure backend API role. The engineer will work on critical data/platform services, investigate production issues, perform root cause analysis, and implement improvements across data workflows, indexes, web applications, databases, and CI/CD processes. Responsibilities Own and support critical data/platform services. Develop, maintain, and troubleshoot Airflow DAGs written in Python Investigate issues related to data, DAGs, DAFFs, Elasticsearch indexes, Superset, and web applications Perform root cause analysis and propose practical solutions Implement new features and improvements in existing Python/Flask-based services Work with Elasticsearch indexing, optimization, and troubleshooting Work with Oracle and/or PostgreSQL databases Support and improve GitLab CI/CD pipelines Propose improvements across application, data, infrastructure, and operational layers Communicate actively with the internal team and the client 5+ years of Python experience 3+ years of hands-on experience with Apache Airflow, including DAG development, orchestration, maintenance, and troubleshooting in production environments Proven production experience with Elasticsearch, including indexing, optimization, and troubleshooting Hands-on experience with Apache Superset, dashboards, and BI/data visualization workflows Experience with Flask Experience with Oracle and/or PostgreSQL Experience with Unix/Linux environments Experience with GitLab and CI/CD pipelines Experience in investigating production issues and performing root cause analysis Advanced English Technical degree Soft Skills Proactive and ownership-driven mindset Strong written and verbal communication Attention to detail Ability to explain technical problems and propose solutions clearly

Responsibilities

Own and support critical data platform services, focusing on the development and troubleshooting of Airflow DAGs and Python-based services. Perform root cause analysis on production issues across Elasticsearch indexes, databases, and CI/CD pipelines.